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A meta-analysis of international case studies in TOD: transferable lessons

A meta-analysis of international case studies in TOD: transferable lessons. Ren Thomas, iTOD Project 1 Postdoctoral Researcher , University of Amsterdam.

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A meta-analysis of international case studies in TOD: transferable lessons

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  1. A meta-analysis of international case studies in TOD: transferable lessons Ren Thomas, iTOD Project 1 Postdoctoral Researcher , University of Amsterdam

  2. Phase 1 (July 2012-July 2013) meta-analysis and rough set analysis to determine which policies, actors and institutions are most influential in TOD implementation • Phase 2 (July 2013-July 2014) workshops with Dutch planners to determine which of these could work in The Netherlands methodology

  3. TOD can be described as land use and transportation planning that makes walking, cycling, and transit use convenient and desirable, and that maximizes the efficiency of existing transit services by focusing development around transit stations, stops, and exchanges. TOD can be seen as part of a broader approach to urban development. Successful TOD can be defined as implementation of this type of development at a regional scale. our definition of TOD

  4. meta-analysis We used in-depth case studies todeterminecriticalsuccessfactors: 11 case city-regions

  5. Meta-matrix: createdcoded case reports, summarizedreports in matrix format, notedcommonalitiesanddifferencesbetween cases (MilesandHuberman1994) • Sorted meta-matrix by 5 major themes: • policy consistency • actors/roles • land use-transport connections • specific tools and policies • barriers to TOD • Identified possible critical success/failure factors for each case meta-analysis

  6. Plans and Policies • Consistency in planning policy supporting TOD over time • Vision stability • Support of higher levels of government • Political stability: national • Political stability: local Actors • Relationships between actors • Presence of a regional transport-land use planning body • Level of competition among municipalities • Presence of interdisciplinary teams • Public participation • Public acceptance • Presence of key visionaries Implementation • Use of site-specific planning tools (FAR bonuses, leasing of air rights, density targets) • Corridor-level planning • Certainty for developers • Willingness to experiment • Degree of implementation critical success factors

  7. Convenience and Desirability Overall convenience and desirability of walking, cycling, and public transit Efficient Infrastructure Maximization of efficiency in existing transit services (concentration of development at stations and in corridors) Overall Success Aggregate measure performancemeasures Scale of Implementation Scale of implementation of TOD across the city-region Modal Split Modal split for cycling, walking, and public transit in the city and region

  8. local expert feedback

  9. codified data matrix

  10. Using ROSE2 software, we applied a RSA to the codified data matrix • RSA extracts characteristic patterns from the data, determines decision rules, and evaluates the rules using validation techniques • Decision rules are conditional statements, specifying the conditions under which the statements are valid • A total of 20 rules were found rough set analysis

  11. The CSFs with the highest frequencies in the decision rules are: • Political stability (national) • Actor relationships • Regional land use-transportation body • Interdisciplinary implementation teams • Public participation rough set analysis

  12. The meta-matrices were instrumental in identifying 16 CSFs or transferable lessons from the international case studies • These were tested and assessed for each case city, resulting a set of values that could be used in RSA • The RSA has revealed which CSFs were most influential on successful TOD implementation, and in which combinations • The meta-analysis results are more generalizable than individual case study findings summary

  13. Two workshops where we will use the results of Phase I to test policy transfer (November/January) • Stakeholders will use CSFs to indicate • where Amsterdam is now/in the future • which CSFs they would improve to achieve TOD in a specific corridor • what could/could not work in the Netherlands next steps

  14. r.thomas@uva.nl

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